Ah, I think I see the distinction now! :-)
I was thinking more in terms of skills that translate between different projects, such as the large degree of software engineering skills that help in every ML project. I realise that this is a relatively narrow definition of 'T,' and yours is much, much larger.
Science is definitely benefiting from all types of researchers; I was just observing that some hiring committees ignore non-core aspects of research in CVs, focusing only on the publication output.
> I imagine a T-shaped person excels in wet-lab experiments to generate quality data as well as in analysis/modeling skills to put the data into a quantitative framework.
Couldn't agree more! And often, at least in my observation, it's better to have someone who is a 'jack of some trades' here...
> I also want to make it clear that I don't consider "I" or "T" any better than the others. We need both in science to progress. Perhaps our definitions of "I" and "T" differ slightly.
Absolutely :-) And thanks for pointing out these differences in definition! Goes to show that I am living in my own little bubble...